{"id":"W1522373090","doi":"10.1002/0470011815.b2a4a020","title":"Health Status Instruments, Measurement Properties of","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Biostatistics","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Interpretability; Measure (data warehouse); Discriminative model; Key (lock); Medicine; Psychology; Computer science; Data mining; Artificial intelligence; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.102819,0.0008288781,0.001137289,0.004053595,0.0009342235,0.004076562,0.0009512134,0.001272073,0.008315798],"category_scores_gemma":[0.4093893,0.0005127173,0.001782472,0.005987773,0.003635368,0.005316699,0.002618065,0.002560211,0.002059242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001694668,"about_ca_system_score_gemma":0.003306798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001149457,"about_ca_topic_score_gemma":0.0008509135,"domain_scores_codex":[0.9155124,0.05534052,0.01081825,0.003339746,0.01422643,0.0007626254],"domain_scores_gemma":[0.7066269,0.2321073,0.02066921,0.01710946,0.02257859,0.0009086468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007677189,0.0004747341,0.1807311,0.004587596,0.0008295047,0.0002536536,0.002711264,0.004647188,0.001121859,0.2058587,0.01711494,0.5809017],"study_design_scores_gemma":[0.000724462,0.001921607,0.3697927,0.008645401,0.001321023,0.001832582,0.00274227,0.02902209,0.008249979,0.4413158,0.1341171,0.0003150861],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1695164,0.01622602,0.6441149,0.02139961,0.002809612,0.01286074,0.0199651,0.001219,0.1118886],"genre_scores_gemma":[0.7168647,0.004298926,0.2516384,0.003037483,0.001078322,0.01436723,0.005134044,0.000254233,0.003326759],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.102819,"threshold_uncertainty_score":0.5437651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04899452424896733,"score_gpt":0.3086430793770822,"score_spread":0.2596485551281149,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}